Software Defined Vehicle (SDV) - Artificial Intelligence/Machine Learning Scientist

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, PyTorch, TensorFlow, R Programming, SPARK Programming

Job Description

The Software Defined Vehicle team supports the definition, design, and development of continuously improving mobility services. SDV is new vehicle intelligence platform that will underpin all our future innovations across a wide range of technological advancements, including EVs and expanded automated driving. This means that you can potentially put a fingerprint on the vehicles that drive down the road! This space is ripe with technical leadership opportunities for sophisticated technology development, as well as the ability to provide mentorship for new employees. You can flex your collaboration muscles as you will be tasked with working with several other areas of engineering, IT, and the business.
 

As a Data Scientist, you will be applying Data Science and Modeling techniques to tackle complex business problems. Are you driven and passionate about data analytics and data sciences? Can you lead with our vision for the future? Come be part of an industry whose vision is to change the future of mobility.

This is a unique opportunity to translate expertise and experience into practices around virtuous cycles for machine learning data within a multi-disciplinary team of experienced people. We lead the design, development and deployment of advanced statistical and mathematical solutions with the help of machine learning techniques and traditional methods. You'll be part of a team that generates new algorithmic models and software, enabling companies to develop automated and autonomous driving systems.

Responsibilities

• Provide technical guidance and subject matter expertise to team members and stakeholders
• Build predictive models and machine-learning algorithms
• Analyze large amounts of information to discover trends and patterns
• Undertake preprocessing of structured and unstructured data
• Monitor and sustain model effectiveness
• Combine models through ensemble modeling
• Present complex information using data visualization techniques
• Propose solutions and strategies to business challenges that drive business impact

Additional Description

Requirements ?

• 3+ years experience with predictive modeling techniques based off time series analysis with very high dimensional data sets, especially regarding kinematics
• 5 or more years proficiency in one or more core analytical tools / suites / languages such as Python, R, Spark Scala, PyTorch, TensorFlow, and understand their limitations
• Experience in generating geospatial feature detection models
• Experience establishing sampling policies for understanding real-world dynamic events
• Experience translating real-world sensor data into simulated environments and vice-versa
• Familiarity with linear discriminant analysis, cluster analysis, and other methods to identify latent class features in both labeled and label-free data
• MS Degree (PhD Preferred) in Engineering, Computer Science, Physics, Mathematics, or related quantitative field

Preferred Qualifications

• Experience with autonomous vehicle and/or ADAS technologies/systems and related vehicle data processing and analytics

FOR GM INTERNAL CANDIDATES: This role is posted at both the 6th and 7th level. The determination by HR and the Hiring Manager as to whether an offer will be lateral or promotional will be based on a candidate’s relevant experience and whether
the role will amount to a significant increase in level of responsibility.